Surya Pradeep is a Senior Data Scientist based in Hyderabad with a decade of experience delivering production-grade AI and data science solutions. He specializes in enterprise-grade Generative AI, RAG-powered workflows, and fine-tuning LLMs for NER and Q&A, with hands-on expertise in Scikit-learn, Pandas, NumPy, TensorFlow, and PyTorch. At Space Inventive, he orchestrated cross-functional teams to deliver 10+ scalable Gen AI prototypes and built a RAG pipeline that reduced retrieval latency by 35%, earning executive buy-in for R&D expansion. He holds a BTech in Computer Science and Engineering from IIT BHU, a PGAIML from UT Austin with 98.5%, and a HarvardX Data Science certification, and is currently pursuing a Master of Data Science at Deakin University. He leverages data wrangling, multi-dimensional analytics, and storytelling with Plotly, Tableau, and Power BI to turn insights into impact, and his GitHub motto—In Data we Trust, In Coffee, we Function—captures his pragmatic, caffeinated approach to problems.
11 years of coding experience
3 years of employment as a software developer
PGAIML - Post Graduate Degree in Artificial intelligence and Machine learning, Artificial Intelligence, 98.5%, PGAIML - Post Graduate Degree in Artificial intelligence and Machine learning, Artificial Intelligence, 98.5% at The University of Texas at Austin
Master of Data Science, Master of Data Science at Deakin University
HarvardX Data Science Professional Certification Program, Data Science & Machine Learning, 95%, HarvardX Data Science Professional Certification Program, Data Science & Machine Learning, 95% at Harvard University
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
Course projects for the Post Graduate Program in Artificial Intelligence and Machine Learning designed by leading academic and industry experts with IIT-Bombay faculty recognised by The University of Texas at Austin and Great Lakes. Facilitated by GreatLearning.
Contributions:17 commits, 2 PRs, 17 pushes in 3 months
UTAustin-IITB-PGAIML Capstone project for the Post Graduate Program in Artificial Intelligence and Machine Learning designed by leading academic and industry experts with IIT-Bombay faculty recognised by The University of Texas at Austin and Great Lakes University. Facilitated by GreatLearning.
Contributions:59 commits, 7 PRs, 8 pushes in 10 months
graduateiitfacultyartificialgreat
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